Senior Platform Engineer – AI

Google Fiber

. Architect and build the Internal AI Developer Platform (IDP) .

Posted 10/27/2026full-timeRemote • United StatesSenior💰 $137,200 - $221,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and building scalable AI infrastructure, utilizing GCP services and Infrastructure as Code methodologies. Proficient in developing self-service APIs and optimizing automation strategies across enterprise applications.

Highest-signal resume keywords

GCP AI ServicesInfrastructure As Code (IAC)Python ProgrammingTerraformEnterprise AI Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SDLCCI/CD PipelinesWorkflow AutomationMulti-Agent SystemsCloud SQLGKECloud BuildRate-LimitingLoad BalancingFailovers

Tools & Technologies

GCPTerraformAnsibleCloud RunCloud FunctionsGCS

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

AI Developer PlatformEnterprise ApplicationsAutomation StrategiesIntegration FrameworksTechnical Documentation

Tech Stack

Tools & technologies

AnsibleCloudGoogle Cloud PlatformJavaMicroservicesPythonSDLCSQLTerraform

About the role

Key responsibilities & impact

Architect and build the Internal AI Developer Platform (IDP)
Abstract GCP AI services such as Vertex AI, Agent Engine, and Model Garden into self-service APIs, SDKs, or Terraform modules
Design and build enterprise model gateways with rate-limiting, load balancing, failovers, and unified telemetry
Build and optimize RAG pipelines grounded in internal client policies and technical documentation
Oversee microservices deployment using GKE, Cloud SQL, and Cloud Build
Ensure scalable and reliable AI performance
Drive automation strategies and infrastructure standards across the product suite

Requirements

What you’ll need

Bachelor's degree in Computer Science, a related field, or equivalent practical experience
8 years of experience in setting up SDLC, CI/CD pipelines, automation, troubleshooting, launching and supporting enterprise applications as an individual contributor and in a Lead capacity
5 years of experience as senior platform engineer, with recent years dedicated to architecting and scaling enterprise AI infrastructure
Demonstrated expertise in building multi-agent systems, workflow automation, and implementing emerging integration frameworks such as A2A and MCP
5 years of hands-on experience with public cloud and Infrastructure as Code (IAC)
Experience with Python, Java and GCP infrastructure tools including GKE, Cloud Run, Cloud Functions, and GCS
Experience with Terraform and Ansible
Role is not eligible for immigration sponsorship

Benefits

Comp & perks

Bonus
Benefits
Equal opportunity employment
Accessible, inclusive workplace
Applicant accommodation support